ContextLoc++: A Unified Context Model for Temporal Action Localization
Author:
Affiliation:
1. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, China
2. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA
3. Wormpex AI Research, Bellevue, WA, USA
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Natural Science Foundation of Shaanxi Province
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10169863/10018461.pdf?arnumber=10018461
Reference66 articles.
1. TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
2. Scale Matters: Temporal Scale Aggregation Network For Precise Action Localization In Untrimmed Videos
3. Multi-Granularity Generator for Temporal Action Proposal
4. Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
5. Boundary Content Graph Neural Network for Temporal Action Proposal Generation
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. MKP-Net: Memory knowledge propagation network for point-supervised temporal action localization in livestreaming;Computer Vision and Image Understanding;2024-11
2. CSS-Net: A Consistent Segment Selection Network for Audio-visual Event Localization;IEEE Transactions on Multimedia;2023
3. Temporal Action Localization in the Deep Learning Era: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023
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